Regulating Artificial Intelligence

Regulating Artificial Intelligence

Core Materials

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Potential Risks from Advanced Artificial Intelligence: The Philanthropic Opportunity - Open Philanthropy Project - Why reducing risks from AI might be one of the most outstanding philanthropic opportunities. (40 mins.)
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Research Agenda, Legal Priorities Project, Section 4, pp. 35–46 (20 mins.)

Optional reading

Generally:

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Research Agenda, Legal Priorities Project, Section 4, pp. 46–55

Misuse risks (security):

Accident risks (safety):

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Structural risks/opportunities:

Career resources:

Discussion Questions

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How should AI and machine learning be defined for legal purposes? What are the consequences of different definitions? Think about different dimensions, e.g.,
  1. technology-based regulation vs. risk-based regulation
  2. regulation vs. co-regulation vs. self-regulation
  3. hard law vs. soft law (e.g., international standards)
  4. international regulation vs. national regulation
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Does the regulation of the internet provide a helpful analogy to the regulation of AI?
  1. The early internet was largely unregulated in the United States (e.g. no enforced sales tax on ecommerce; no speech liability for platform providers; no treatment of ISPs as utility providers) - what are the most compelling rationales for treating AI differently?
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Much of the concern around AI considers a β€œhard takeoff” scenario for AGI, what if any current legal tools would help minimize a hard take off happening and/or going badly?
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How open to competition should the AI development process be? Are their risks in trying to define AI research and development broadly and regulate it? What does regulation of non-public advances even look like? How is this different than arms control?
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Could the recognition of rights for AI create a moral hazard for designers or parties who would otherwise be held accountable?
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Would a windfall clause be legal in your country/jurisdiction? Can you think of other ways to distribute the benefits from AI?